17-18 September 2018
Alan Turing Institute, London
Europe/London timezone

Deep Learning for the future of the Large Hadron Collider

17 Sep 2018, 15:45


Dr Maurizio Pierini


Dr. Maurizio Pierini, CERN Physicist working on the CMS experiment at the Large Hadron Collider

Abstract: The High-Luminosity LHC phase, scheduled for 2025, will challenge the commonly accepted solutions for tasks such as event reconstruction, real-time processing, large dataset simulation, etc. Deep Learning is considered as a strong candidate to solve this issue, by speeding up the task executions with potentially no performance loss. We will discuss a few preliminary studies, showing potential use cases for techniques like computing vision of natural-language processing to LHC-related physics problems.

Bio: I am a CERN physicist, working on the CMS experiment at the Large Hadron Collider. My main areas of interests are the search for physics beyond the standard model. I have a consolidated experience with optimizing real-time data processing and selection. In the recent past, I have been working on investigating and promoting the usage of Deep Learning in particle physics.

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